Assessment of the Finite-volumE Sea ice-Ocean Model (FESOM2.0) – Part 1: Description of selected key model elements and comparison to its predecessor version

Scholz, Patrick; Sidorenko, Dmitry; Gurses, Ozgur; Danilov, Sergey; Koldunov, Nikolay; Wang, Qiang; Sein, Dmitry; Smolentseva, Margarita; Rakowsky, Natalja; Jung, Thomas

doi:https://doi.org/10.5194/gmd-12-4875-2019

Articles | Volume 12, issue 11

https://doi.org/10.5194/gmd-12-4875-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-12-4875-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 12, issue 11

Model evaluation paper

|

25 Nov 2019

Model evaluation paper |

| 25 Nov 2019

Assessment of the Finite-volumE Sea ice-Ocean Model (FESOM2.0) – Part 1: Description of selected key model elements and comparison to its predecessor version

Patrick Scholz, Dmitry Sidorenko, Ozgur Gurses, Sergey Danilov, Nikolay Koldunov, Qiang Wang, Dmitry Sein, Margarita Smolentseva, Natalja Rakowsky, and Thomas Jung

Supplement

https://doi.org/10.5194/gmd-12-4875-2019-supplement

Data sets

FESOM2.0 evaluation part I P. Scholz, D. Sidorenko, G. Ozgures, S. Danilov, and N. Koldunov https://swiftbrowser.dkrz.de/public/dkrz_035d8f6ff058403bb42f8302e6badfbc/FESOM2.0_evaluation_part1_scholz_etal/

Model code and software

FESOM/fesom2: Control forcing and IO from namelists. Initial CVMIX implementation. (Version 2.0.4) D. Sidorenko, P. Scholz, N. Koldunov, J. Streffing, H. Goessling, and T. Rackow https://doi.org/10.5281/zenodo.3081122

Finite-Element Sea ice-Ocean Model (FESOM) (Version 2) Q. Wang, C. Wekerle, S. Danilov, X. Wang, and T. Jung https://doi.org/10.5281/zenodo.1116851

METIS version 5.1.0 package Karypis Lab http://glaros.dtc.umn.edu/gkhome/views/metis

Short summary

This paper is the first in a series documenting and assessing important key components of the Finite-volumE Sea ice-Ocean Model version 2.0 (FESOM2.0). We assess the hydrographic biases, large-scale circulation, numerical performance and scalability of FESOM2.0 compared with its predecessor, FESOM1.4. The main conclusion is that the results of FESOM2.0 compare well to FESOM1.4 in terms of model biases but with a remarkable performance speedup with a 3 times higher throughput.